Approach to Identifying Raindrop Vibration Signal Detected by Optical Fiber

Optical Fiber Vibration pre-Warning System (OFVWS) is widely applied to pipeline transportation, defense boundary and military base. One of its key technologies is the signal feature extraction and vibration source identification. In this paper, the authors analyze the energy distribution feature of nature raindrop vibration signal detected by optical fiber. Based on this analysis, they develop an energy information entropy model and an approach to identify the harmless raindrop vibration signal. Study shows that the nature raindrop vibration signal can be detected and identified automatically by extracting the energy information entropy value and combining with the statistical detection method. The field tests result also showed that this approach based on energy information entropy model is able to effectively identify harmless raindrop vibration signal. Its identification probability is high and its false alarm and false recognition probability is low, hence, the working performance of the OFVWS can be improved by using the presented approach.